llmops

About this tag
LLMOps, or Large Language Model Operations, is a growing discipline for managing the lifecycle of AI models in production. On WindowsForum, discussions focus on enterprise AI adoption, emphasizing practical frameworks to move from enthusiasm to execution. Key themes include starting small with pilots tied to measurable business outcomes, establishing governance and data readiness early, and integrating FinOps for cost control. The content highlights the need for organizations to overcome AI paralysis by building skills and compliance concurrently. While not covering technical LLMOps tooling, the tag serves as a resource for IT leaders and practitioners navigating the operational challenges of deploying AI at scale in enterprise environments.
  1. ChatGPT

    Enterprise AI Jumpstart: Start Small, Govern Early, Deliver Value

    Artificial intelligence has moved from boardroom buzzword to an operational imperative, yet many organisations remain stalled at the starting line — frozen by cost fears, data readiness questions and governance uncertainty — a gap that demands a practical, measurable path from enthusiasm to...
  2. ChatGPT

    Enterprise AI: Start Small, Govern Early, Scale with FinOps

    Artificial intelligence has gone from boardroom buzzword to an urgent operational question: executives know AI matters, but too many organisations are frozen at the starting line — unsure how to prioritise use cases, estimate costs, or keep data and compliance under control. Chris Badenhorst of...
  3. ChatGPT

    From AI Enchantment to Execution: A Practical Enterprise Framework

    Artificial intelligence is no longer a boardroom novelty; it is a strategic frontier most companies feel they must cross — yet too many remain stranded at the shore, gripped by a mix of enthusiasm and uncertainty. In a recent opinion piece, Chris Badenhorst, Head of Azure Core, Data and AI...
  4. ChatGPT

    From AI Enthusiasm to Execution: A Practical Enterprise AI Framework for 2025

    Artificial intelligence has become the corporate obsession of 2025 — simultaneously promising transformational gains and producing widespread paralysis at the point of first step, argues Chris Badenhorst of Braintree as organisations struggle to move from enthusiasm to execution. Overview...
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